Increasing throughput rates and technical developments in
video streaming over the Internet offer an attractive solution
for the distribution of immersive 3D multi-view. Nevertheless,
robustness of video streaming is subject to its utilisation
of efficient error resiliency and content aware adaptation
techniques. Dynamic network characteristics resulting
in frequent congestions may prevent video packets from being
delivered in a timely manner. Packet delivery failures
may become prominent, degrading 3D immersive video experience
significantly. In order to overcome this problem, a
novel view recovery technique for 3D free-viewpoint video is
introduced to maintain 3D video quality in a cost-effective
manner. In this concept, the undelivered (discarded) views
as a result of adaptation in the network are recovered with
high quality at the receiver side, using Side Information
(SI) and the delivered frames of neighbouring views. The
proposed adaptive 3D multi-view video streaming scheme
is tested using Dynamic Adaptive Streaming over HTTP
(MPEG-DASH) standard. Tests using the proposed adaptive
technique have revealed that the perceptual 3D video
quality under adverse network conditions is significantly improved
thanks to the utilisation of the extra side information
in view recovery.

Description:

Closed access.

Sponsor:

This work was supported by the ROMEO project (grant
number: 287896), which was funded by the EC FP7 ICT
collaborative research programme.